S
IT(Software/Hardware)

Software Engineering SMTS - Tableau Cloud / Einstein AI Platform

Salesforce

Role Summary

Salesforce is hiring a Software Engineering SMTS (Senior Member of Technical Staff) for its Einstein AI platform team across Bengaluru and Hyderabad. In this role, you will design, build, and deploy scalable Generative AI microservices across multi-tenant production systems. You will drive system automation, handle capacity planning, conduct root-cause analysis, participate in on-call rotations, and build large-scale Machine Learning platform services covering training, scoring, orchestration, and model management.

Key Responsibilities

  • Generative AI Platform Engineering: Architect and deploy scalable Generative AI and Machine Learning services integrated across multi-tenant applications operating on public cloud substrates (AWS/GCP).
  • System Automation & Infrastructure: Optimize system performance, manage capacity planning, automate configurations, execute root cause analysis, and monitor distributed infrastructure health.
  • ML Lifecycle & APIs: Build unified, configuration-driven APIs and microservices for the entire ML lifecycle—including data processing, model training, experimentation, prediction scoring, and model storage.
  • Cross-Functional Innovation: Collaborate closely with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to bring prototype AI solutions into high-scale production.

Key Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related technical discipline.
  • Experience: Minimum 4 years of dedicated industry experience in ML engineering, building scalable AI systems and distributed services.
  • Mandatory Technical Stack: Deep hands-on experience in building distributed microservices on AWS/GCP, container orchestration via Kubernetes and Spinnaker, and modern data processing frameworks (Kafka, Spark, Docker, Hadoop).
  • Preferred Technical Exposure: Working knowledge of MLOps/ML infrastructure, SageMaker, TensorFlow, PyTorch, Triton Inference Server, and automated model orchestration workflows.

About Salesforce

Salesforce is the global leader in Customer Relationship Management (CRM), empowering enterprises through AI + Data + CRM solutions, Einstein AI platforms, and Agentforce capabilities.

Important Candidate Notice

This job posting and its descriptions are owned by Salesforce . We provide this overview to help developers discover opportunities. For applications, responses, or follow-ups, please connect with Salesforce directly. Job Central Hub does not process applications or review candidate queries.

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Overview
Expected Salary ₹18 - ₹35 Lakhs/Annum
Experience Required 4 - 8 Years
Last Date to Apply Continuous Recruitment
Posted On 26-08-2026
Mandatory Skills
Machine Learning Engineering Generative AI Services Distributed Microservices AWS / GCP Kubernetes Spinnaker Apache Kafka Apache Spark Docker Hadoop
Preferred Skills
MLOps / ML Infrastructure SageMaker TensorFlow PyTorch Triton Inference Server Model Orchestration Capacity Planning